classical criteria, as well as forecast combination techniques with constant and non-constant weights. With respect to the … standard GARCH specification, the non-linear models generally lead to better forecasts in terms of both smaller forecast errors … and lower biases. In-sample forecast combination regressions are better than those from single Mincer …

static forecasts, as well as different measures of forecast errors. Finally, we propose a new class of models which combine …

distribution by asking whether ethanol returns can be used to forecast different parts of field crops returns distribution, or vice … Squares. Forecast evaluation relies on quantile-weighed scoring rules, which identify regions of the distribution of interest … by using field crops returns. On the contrary, there is no evidence that ethanol can be used to forecast any region of …